In the evolving landscape of entrepreneurship, digital technologies have ushered in new possibilities, attracting considerable academic attention. Despite the burgeoning research in Digital Entrepreneurship, the field remains fragmented, warranting a synthesized overview and structured research agenda. Consistently with the above, the paper presents a quantitative mapping of Digital Entrepreneurship through a bibliometric analysis of its publications. The research aims to address the need for a comprehensive, bibliometric overview of the topic, which has been echoed in recently published papers. In order to achieve this goal, we collected data from the Web of Science database, a common and scientifically sound choice in entrepreneurship research. The data were analyzed by applying Latent Dirichlet Allocation and topic modeling, thus providing a unique approach to bibliometric mapping. Topic modeling allows for the processing and analysis of significant amounts of scientific data, thus making it an ideal tool for bibliometric research. We find the field of Digital Entrepreneurship to be rather lively and in rapid development, with several publication outlets, affiliations, and countries contributing to it. We found four main topics to be extracted: the implications of Digital Entrepreneurship for innovation, Digital Entrepreneurship as an enabler for empowerment, the transformation of business models through digitalization, and the surge of digital platforms as entrepreneurial ecosystems. Additionally, we have provided a comprehensive overview of the theoretical lenses used amid the sample and a structured research agenda built upon extant gaps. From a theoretical perspective, the article serves as a starting point for future research on the topic and a comprehensive analysis of its present and past. From a practical perspective, the study is of interest to digital entrepreneurs willing to learn more about the opportunities and challenges provided by the digital landscape.

在不断发展的创业格局中，数字技术带来了新的可能性，吸引了学术界的广泛关注。尽管数字创业研究蓬勃发展，但该领域仍然分散，需要综合概述和结构化研究议程。与上述内容一致，本文通过对其出版物的文献计量分析，呈现了数字创业的定量图谱。该研究旨在满足对该主题进行全面的文献计量概述的需求，这在最近发表的论文中得到了呼应。为了实现这一目标，我们从 Web of Science 数据库收集了数据，这是创业研究中常见且科学合理的选择。通过应用潜在狄利克雷分配和主题建模来分析数据，从而提供了独特的文献计量映射方法。主题建模可以处理和分析大量科学数据，从而使其成为文献计量研究的理想工具。我们发现数字创业领域相当活跃且发展迅速，有多家出版物、附属机构和国家对此做出了贡献。我们发现可以提取四个主要主题：数字创业对创新的影响、数字创业作为赋权的推动者、通过数字化实现的商业模式转型，以及作为创业生态系统的数字平台的激增。此外，我们还提供了样本中使用的理论视角的全面概述，以及基于现有差距的结构化研究议程。从理论角度来看，本文作为该主题未来研究的起点，并对其现在和过去进行了全面分析。从实践的角度来看，这项研究引起了愿意更多地了解数字环境所提供的机遇和挑战的数字企业家的兴趣。